Hiroshi Kimurâ
Impact in
- Molecular Biology top 0.1%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Aging top 0.5%
Papers in
-
- Genomics and Chromatin Dynamics 162
- Epigenetics and DNA Methylation 103
- RNA modifications and cancer 55
- RNA Research and Splicing 54
- DNA Repair Mechanisms 38
- Cancer-related gene regulation 31
- RNA and protein synthesis mechanisms 21
- Cell Biology 48
- Co-authors
- Peter R. CookYoshiro KodaMikiko SoejimaYoko Hayashi‐TakanakaNaohito NozakiHitoshi KurumizakaYuko SatoYoichi Shinkai
- Journals
- Nature Communications (20 papers)Scientific Reports (15 papers)Nucleic Acids Research (14 papers)Genes to Cells (11 papers)Journal of Biological Chemistry (10 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroshi Kimurâ
447 papers receiving 19.6k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 15.9k
- Aging 299
- Cancer Research 1.6k
- Cell Biology 1.7k
- Genetics 2.1k
Countries citing papers authored by Hiroshi Kimurâ
This map shows the geographic impact of Hiroshi Kimurâ's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hiroshi Kimurâ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kimurâ more than expected).
Fields of papers citing papers by Hiroshi Kimurâ
This network shows the impact of papers produced by Hiroshi Kimurâ. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hiroshi Kimurâ. The network helps show where Hiroshi Kimurâ may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroshi Kimurâ, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 37 | |
| 11 | 2021 | 28 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 41 | |
| 14 | 2020 | 148 | |
| 15 | 2019 | 24 | |
| 16 | 2015 | 3 | |
| 17 | 2010 | 180 | |
| 18 | 2007 | 88 | |
| 19 | 2006 | 70 | |
| 20 | 1970 | 2 |
About Hiroshi Kimurâ
Hiroshi Kimurâ is a scholar working on Molecular Biology, Cell Biology, Genetics, Hematology and Physiology, having authored 461 papers that have together received 19.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (162 papers), Epigenetics and DNA Methylation (103 papers), RNA modifications and cancer (55 papers), RNA Research and Splicing (54 papers), DNA Repair Mechanisms (38 papers), Cancer-related gene regulation (31 papers), Chromosomal and Genetic Variations (25 papers) and RNA and protein synthesis mechanisms (21 papers). The work is most often cited by research in Molecular Biology (15.9k citations), Aging (299 citations), Cancer Research (1.6k citations), Cell Biology (1.7k citations) and Genetics (2.1k citations). Hiroshi Kimurâ has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Peter R. Cook, Yoshiro Koda, Mikiko Soejima, Yoko Hayashi‐Takanaka, Naohito Nozaki, Hitoshi Kurumizaka, Yuko Sato, Yoichi Shinkai, Yasuyuki Ohkawa and Makoto Tachibana. Their work appears in journals such as Nature Communications, Scientific Reports, Nucleic Acids Research, Genes to Cells and Journal of Biological Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.